Main
Alexandre Henrique S. Dias
I’m a Data Scientist passionate about statistics applied to Machine Learning algorithms and how to turn those algorithms into tools to make people live better and happier. Also, I love writing about data science stuff. Currently, I do my job as a Data Scientist focusing on solving problems in the domain of Human Resources.
Industry Experience
Data Scientist
B2W Digital
São Paulo, SP
Present - 2021
- Statistical modelling and analysis of HR People Analytics-related problems.
Data Scientist
Looqbox
São Paulo, SP
2021 - 2019
- Development of BI reports and dashboards using R, Python, and SQL.
- Maintainer of the Looqbox R Package used to build R objects and data structures compatible with the Looqbox Application.
Education
M. Sc., Electrical and Computer Engineering
UFRN - Federal University of Rio Grande do Norte
Natal, RN
Present - 2021
- Majoring in Data Processing and Analytics
MITx Micromaster Program in Statistics and Data Science
MITx
EdX
Present - 2020
- The MITx MicroMaster in SDSS covers the fundamentals of data science, statistics, and machine learning.
B. Sc., Computer Engineering
UFRN - Federal University of Rio Grande do Norte
Natal, RN
2019 - 2018
- Member of the Modeling and Scientific Data Analysis team.
B. Sc., Sciences & Technology
UFRN - Federal University of Rio Grande do Norte
Natal, RN
2017 - 2015
- Linear Algebra and Analytical Geometry assistant teacher.
- Calculus II assistant teacher.
Research Experience
Undergraduate Researcher
Digital Metropolis Institute
UFRN
2019 - 2018
- Developed a traffic monitoring system using image recognition.
Undergraduate Researcher
Department of Informatics and Applied Mathematics
UFRN
2017 - 2016
- Developed an interactive theorem prover based on Linear Logical using the Maude programming language.
Selected Data Science Writing
I enjoy spending time reading about productivity, lifestyle, data science/AI, and statistics
A mathematical derivation of the Law of Total Variance
N/A
2020
- Understanding what is and when to apply the Law of Total Variance.
Clustering with K-means: simple yet powerful
N/A
2019
- Explain what is Cluster Analysis, and how the K-means algorithm work providing its pros and cons.
An introduction to Linear Regression
N/A
2019
- Explain all assumptions behind Linear Regression, how to measure its performance, and how to implement it in Python.
Academic Publications
Paper published in the 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT). Naples, Italy.
Performance Evaluation of an Edge OBD-II Device for Industry 4.0
Institute of Electrical and Electronics Engineers
IEEE
2019
- Performance evaluation of an Edge OBD-II device that collects data from vehicles in an autonomous way in order to provide customer feedback and tracking
Certificates & Courses
DataCamp completed tracks
DataCamp
N/A
2019 - 2018
- Data Scientist with Python.
- Data Analyst with Python.
- Data Manipulation with Python.
- Machine Learning with Python.
- Importing & Cleaning Data with Python.
- Python Programming.
- Python Programmer.
Talks
Understand what is Data Science and how this field is going to color the 21st Century (translated)
UFRN - Federal University of Rio Grande do Norte
Arduino Day 2019
2019
- What is data science and what it takes to become a data scientist.
Predicting Pulsar Stars: How Data Science helps us understand the universe (translated)
UFRN - Federal University of Rio Grande do Norte
II seminar on DS Applications
2018
- The importance of detecting Pulsar Stars, and how we can implement a simple neural network to beat XGBoost.